Accepted manuscript
Formulation of optimal surrogate descriptions of fuels considering sensitivities to experimental uncertainties
Combustion and flame, Vol.188, pp.337-356
02/2018
Handle:
https://hdl.handle.net/2376/120327
Appears in Aviation Sustainability Center (ASCENT)
Abstract
•Computational approach to construct surrogate descriptions of fuels using information on experimental uncertainty. •Theoretical foundation using optimization for surrogates and computational results using two alternative fuels Jet-A and JP-8.•Consistent description of physical properties of fuels using the recent ASTM D2887 standard.•Both physical and chemical properties, including ignition delay and distillation curve error are used to characterize surrogates.•Experimental and computational methodologies for obtaining surrogates provide a unified description under this framework.•Weighting factors, sensitivity coefficients and dual variables are shown to be same under appropriate assumptions.•Framework for multi-parametric optimization approach to surrogate construction.•Stepping stone for work on algorithmic palette design-current optimization framework to be generalized to mixed-integer settings.
Transportation fuels consist of a large number of species that belong to different families of compounds. Surrogate fuel representations have been formulated to better understand their fundamental chemical composition and to emulate combustion properties. These descriptions are formulated using experiments or through computations, which has thus led to the existence of two different notions of surrogates. There is further distinction of concepts through the use of physical and chemical surrogates, which are designed to emulate those specific properties. Although several surrogate design methodologies have been proposed in literature, they do not incorporate information on experimental uncertainty. By addressing this issue, it is shown that this information is crucial for the reliable construction of surrogates through computations. To incorporate physical fuel properties, a consistent approach through the use of the recent ASTM D2887 distillation curve standard is discussed. Then, a formal computational procedure is presented that incorporates information of experimental uncertainties into the surrogate description. It is shown that surrogates then describe a feasible region and are hence not unique. Both physical and chemical properties are utilized as combustion property targets (CPTs) and consistency with experimental formulations is demonstrated for JP-8 and Jet-A (POSF 4658) surrogates. In addition, the use of convex optimization puts existing concepts for surrogate representation on a more rigorous basis and several conclusions are drawn, particularly on the importance of specific CPTs and weighting factors of regression-based approaches. Also, the effect of using simplified models for the evaluation of CPTs on the final surrogate composition is shown by considering the example of linear blending rules for ignition delay. Finally, the surrogate representation problem is connected to multi-parametric optimization and bounds on surrogate compositions are calculated as a function of the experimental uncertainty along with comparisons against experimental results.
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Details
- Title
- Formulation of optimal surrogate descriptions of fuels considering sensitivities to experimental uncertainties
- Creators
- Pavan B Govindaraju - Stanford UniversityMatthias Ihme - Stanford University
- Publication Details
- Combustion and flame, Vol.188, pp.337-356
- Academic Unit
- Aviation Sustainability Center (ASCENT); Alternative Jet Fuel
- Publisher
- Elsevier Inc
- Grants
- 13-C-AJFE-SU-010, Federal Aviation Administration (United States, Washington) - FAA
- Identifiers
- 99900620470801842
- Copyright
- © 2017 published by Elsevier. This manuscript is made available under the Elsevier user license: https://www.elsevier.com/open-access/userlicense/1.0/
- Language
- English
- Resource Type
- Accepted manuscript